Dottorando in Bioingegneria E Scienze Medico-chirurgiche , 38o ciclo (2022-2025)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)
Profilo
Dottorato di ricerca
Argomento di ricerca
IoT Innovations for Early Diagnosis of Newborn Motor/Cognitive Impairments
Tutori
Interessi di ricerca
Biografia
Syed Adil Hussain Shah (Pakistan, born in 1996) working in GPI SpA (Trento, Italy) as an IT researcher under the supervision of Angelo Di Terlizzi (Project Manager) and a PhD scholar (Marie Curie Fellow; PARENT Project URL: https://parenth2020.com/) at Politecnico di Torino (Turin, Italy) under the supervision of prof. Marco Agostino Deriu. Currently, he is working on the development of novel IoT-based solutions to the early diagnosis of newborn motor/cognitive impairments. His field of expertise is related to machine vision, biomedical imaging, and intelligence system development.
In 2022, he did his master in the filed of Computer Science with the specialization of biomedical image analysis from COMSATS University of Islamabad, Wah campus, Pakistan. In this study era, he specialized in Artificial Intelligence and related areas namely Computer Vision, Advance Neural Network, Pattern Recognition, Machine and Deep learning. Moreover, his master thesis focused on medical image processing (Title: “An ensemble deep neural network method for the classification of Pneumonia using X-ray images”). The main objective of this study is to focused on deep multi parallel fusion layers to analysis the multi aspect features of the X-ray images and classify the pneumonia cases at earlier stage. In 2019, he did his bachelor degree in the field of Computer Science from Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan.
In 2022, he did his master in the filed of Computer Science with the specialization of biomedical image analysis from COMSATS University of Islamabad, Wah campus, Pakistan. In this study era, he specialized in Artificial Intelligence and related areas namely Computer Vision, Advance Neural Network, Pattern Recognition, Machine and Deep learning. Moreover, his master thesis focused on medical image processing (Title: “An ensemble deep neural network method for the classification of Pneumonia using X-ray images”). The main objective of this study is to focused on deep multi parallel fusion layers to analysis the multi aspect features of the X-ray images and classify the pneumonia cases at earlier stage. In 2019, he did his bachelor degree in the field of Computer Science from Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan.
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Shah, SYED ADIL HUSSAIN; Shah, SYED TAIMOOR HUSSAIN; Muiz Fayyaz, Abdul; Baqir Hussain ... (2025)
Improving Biomedical Image Pattern Identification by Deep B4‐GraftingNet: Application to Pneumonia Detection. In: IET IMAGE PROCESSING, vol. 19, pp. 1-18. ISSN 1751-9659
Contributo su Rivista - Shah, SYED TAIMOOR HUSSAIN; Shah, SYED ADIL HUSSAIN; Panagiotopoulos, Konstantinos; ... (2025)
Artificial intelligence coupled with the Internet of Things targeting neurodevelopmental challenges in preterm neonates. In: JOURNAL OF MULTISCALE NEUROSCIENCE, vol. 4. ISSN 2653-4983
Contributo su Rivista - Shah, SYED ADIL HUSSAIN; Shah, SYED TAIMOOR HUSSAIN; Khaled, Roa’A; Buccoliero, Andrea; ... (2024)
Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning. In: JOURNAL OF IMAGING, vol. 10. ISSN 2313-433X
Contributo su Rivista - Dr Shahzad Ahmad Qureshi, Prof; Aziz ul Rehman, Dr.; Hussain, Lal; Sadiq, Touseef; Shah, ... (2024)
Breast Cancer Detection using Mammography: Image Processing to Deep Learning. In: IEEE ACCESS. ISSN 2169-3536
Contributo su Rivista - Pigueiras-del-Real, J.; Ruiz-Zafra, A.; Benavente-Fernandez, I.; Lubian-Lopez, S. P.; ... (2024)
NeoVault: empowering neonatal research through a neonate data hub. In: BMC PEDIATRICS, vol. 24. ISSN 1471-2431
Contributo su Rivista - Shah, Syed Taimoor Hussain; Shah, Syed Adil Hussain; Khan, Iqra Iqbal; Imran, Atif; ... (2024)
Data-driven classification and explainable-AI in the field of lung imaging. In: FRONTIERS IN BIG DATA, vol. 7. ISSN 2624-909X
Contributo su Rivista - Shah, Syed Taimoor Hussain; Shah, Syed Adil Hussain; Qureshi, Shahzad Ahmad; Di ... (2023)
Automated facial characterization and image retrieval by convolutional neural network. In: FRONTIERS IN ARTIFICIAL INTELLIGENCE. ISSN 2624-8212
Contributo su Rivista - Shah, SYED TAIMOOR HUSSAIN; Ahmad Qureshi, Shahzad; ul Rehman, Aziz; Shah, SYED ADIL ... (2021)
Classification and Segmentation Models for Hyperspectral Imaging - An Overview. In: Intelligent Technologies and Applications: Third International Conference, INTAP 2020, Grimstad, Norway, September 28–30, 2020
Contributo in Atti di Convegno (Proceeding) - Shah, S. T. H.; Qureshi, S. A.; Rehman, A. U.; Shah, S. A. H.; Amjad, A.; Mir, A. A.; ... (2021)
A novel hybrid learning system using modified breaking ties algorithm and multinomial logistic regression for classification and segmentation of hyperspectral images. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
Contributo su Rivista - Shah, SYED TAIMOOR HUSSAIN; Gibran Javed, Syed; Majid, Abdul; Shah, SYED ADIL HUSSAIN; ... (2019)
Novel Classification Technique for Hyperspectral Imaging using Multinomial Logistic Regression and Morphological Profiles with Composite Kernels. In: 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)
Contributo in Atti di Convegno (Proceeding)